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A biomedical open knowledge network harnesses the power of AI to understand deep human biology.
Baranzini, Sergio E; Börner, Katy; Morris, John; Nelson, Charlotte A; Soman, Karthik; Schleimer, Erica; Keiser, Michael; Musen, Mark; Pearce, Roger; Reza, Tahsin; Smith, Brett; Herr, Bruce W; Oskotsky, Boris; Rizk-Jackson, Angela; Rankin, Katherine P; Sanders, Stephan J; Bove, Riley; Rose, Peter W; Israni, Sharat; Huang, Sui.
  • Baranzini SE; Weill Institute for Neurosciences. Department of Neurology. University of California San Francisco. San Francisco, CA.
  • Börner K; Bakar Institute for Computational Health Sciences. University of California San Francisco. San Francisco, CA.
  • Morris J; Department of Intelligent Systems Engineering. Indiana University. Bloomington, IN.
  • Nelson CA; Department of Pharmaceutical Chemistry. University of California San Francisco. San Francisco, CA.
  • Soman K; Weill Institute for Neurosciences. Department of Neurology. University of California San Francisco. San Francisco, CA.
  • Schleimer E; Weill Institute for Neurosciences. Department of Neurology. University of California San Francisco. San Francisco, CA.
  • Keiser M; Weill Institute for Neurosciences. Department of Neurology. University of California San Francisco. San Francisco, CA.
  • Musen M; Department of Pharmaceutical Chemistry. University of California San Francisco. San Francisco, CA.
  • Pearce R; Institute for Neurodegenerative Diseases. University of California San Francisco. San Francisco, CA.
  • Reza T; Department of Medicine (Biomedical Informatics) and of Biomedical Data Science. Stanford University School of Medicine. Stanford, CA.
  • Smith B; Center for Applied Scientific Computing (CASC). Lawrence Livermore National Laboratory. Livermore, CA.
  • Herr BW; Center for Applied Scientific Computing (CASC). Lawrence Livermore National Laboratory. Livermore, CA.
  • Oskotsky B; Institute for Systems Biology. Seattle, WA.
  • Rizk-Jackson A; Department of Intelligent Systems Engineering. Indiana University. Bloomington, IN.
  • Rankin KP; Bakar Institute for Computational Health Sciences. University of California San Francisco. San Francisco, CA.
  • Sanders SJ; Bakar Institute for Computational Health Sciences. University of California San Francisco. San Francisco, CA.
  • Bove R; Weill Institute for Neurosciences. Department of Neurology. University of California San Francisco. San Francisco, CA.
  • Rose PW; Bakar Institute for Computational Health Sciences. University of California San Francisco. San Francisco, CA.
  • Israni S; Bakar Institute for Computational Health Sciences. University of California San Francisco. San Francisco, CA.
  • Huang S; Weill Institute for Neurosciences. Department of Psychiatry and Behavioral Sciences. University of California San Francisco. San Francisco, CA.
AI Mag ; 43(1): 46-58, 2022.
Article in English | MEDLINE | ID: covidwho-1800403
ABSTRACT
Knowledge representation and reasoning (KR&R) has been successfully implemented in many fields to enable computers to solve complex problems with AI methods. However, its application to biomedicine has been lagging in part due to the daunting complexity of molecular and cellular pathways that govern human physiology and pathology. In this article we describe concrete uses of SPOKE, an open knowledge network that connects curated information from 37 specialized and human-curated databases into a single property graph, with 3 million nodes and 15 million edges to date. Applications discussed in this article include drug discovery, COVID-19 research and chronic disease diagnosis and management.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: AI Mag Year: 2022 Document Type: Article Affiliation country: Aaai.12037

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: AI Mag Year: 2022 Document Type: Article Affiliation country: Aaai.12037